Genetic dissection of lint percentage in short-season cotton using combined QTL mapping and RNA-seq-Reference-Cited by-同舟云学术

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Genetic dissection of lint percentage in short-season cotton using combined QTL mapping and RNA-seq

Published:2023-09 Issue:9 Volume:136 Page:
ISSN:0040-5752
Container-title:Theoretical and Applied Genetics
language:en
Short-container-title:Theor Appl Genet

Author:

Liu Qiao,Wang Yuanyuan,Fu Yuanzhi,Du Lei,Zhang Yilin,Wang Qinglian,Sun Runrun,Ai Nijiang,Feng Guoli,Li Chengqi^ORCID

Funder

the National Natural Science Foundation of China

the Key Research and Development Program of the Xinjiang Production and Construction Corps

the Fundamental Research Project of Shanxi Province

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Agronomy and Crop Science,General Medicine,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s00122-023-04453-4.pdf

Reference75 articles.

1. Abdurakhmonov IY, Buriev ZT, Saha S, Pepper AE, Musaev JA, Almatov A, Shermatov SE, Kushanov FN, Mavlonov GT, Reddy UK, Yu JZ, Jenkins JN, Kohel RJ, Abdukarimov A (2007) Microsatellite markers associated with lint percentage trait in cotton, Gossypium hirsutum. Euphytica 156:141–156

2. Cai CP, Ye WX, Zhang TZ, Guo WZ (2014) Association analysis of fiber quality traits and exploration of elite alleles in Upland cotton cultivars/accessions (Gossypium hirsutum L.). J Integr Plant Biol 56:51–62

3. Chen ZJ, Scheffler BE, Dennis E, Triplett BA, Zhang TZ, Guo WZ, Chen XY, Stelly DM, Rabinowicz PD, Town CD, Arioli T, Brubaker C, Cantrell RG, Lacape JM, Ulloa M, Chee P, Gingle AR, Haigler CH, Percy R, Saha S, Wilkins T, Wright RJ, Deynze AV, Zhu YX, Yu SX, Abdurakhmonov I, Katageri I, Kumar PA, Rahman M, Zafar Y, Yu JZ, Kohel RJ, Wendel JF, Paterson AH (2007) Toward sequencing cotton (Gossypium) genomes. Plant Physiol 145:1303–1310

4. Chen Y, Gao Y, Chen P, Zhou J, Zhang CY, Song ZQ, Huo XH, Du ZH, Gong JW, Zhao CJ, Wang SL, Zhang JX, Wang FR, Zhang J (2022) Genome-wide association study reveals novel quantitative trait loci and candidate genes of lint percentage in upland cotton based on the CottonSNP80K array. Theor Appl Genet 135:2279–2295

5. Deshmukh R, Singh A, Jain N, Anand S, Gacche R, Singh A, Gaikwad K, Sharma T, Mohapatra T, Singh N (2010) Identification of candidate genes for grain number in rice (Oryza sativa L.). Funct Integr Genomic 10:339–347

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